Department of Medical Statistics, University Medical Center Göttingen, Humboldtallee 32, Germany.
Bioinformatics. 2013 Feb 15;29(4):520-2. doi: 10.1093/bioinformatics/bts710. Epub 2012 Dec 28.
Biological pathway data, stored in structured databases, is a useful source of knowledge for a wide range of bioinformatics algorithms and tools. The Biological Pathway Exchange (BioPAX) language has been established as a standard to store and annotate pathway information. However, use of these data within statistical analyses can be tedious. On the other hand, the statistical computing environment R has become the standard for bioinformatics analysis of large-scale genomics data. With this package, we hope to enable R users to work with BioPAX data and make use of the always increasing amount of biological pathway knowledge within data analysis methods.
rBiopaxParser is a software package that provides a comprehensive set of functions for parsing, viewing and modifying BioPAX pathway data within R. These functions enable the user to access and modify specific parts of the BioPAX model. Furthermore, it allows to generate and layout regulatory graphs of controlling interactions and to visualize BioPAX pathways.
rBiopaxParser is an open-source R package and has been submitted to Bioconductor.
存储在结构化数据库中的生物途径数据是各种生物信息学算法和工具的有用知识来源。生物途径交换(BioPAX)语言已被确立为存储和注释途径信息的标准。然而,在统计分析中使用这些数据可能很繁琐。另一方面,统计计算环境 R 已成为大规模基因组学数据分析的标准。通过这个软件包,我们希望能够使 R 用户能够处理 BioPAX 数据,并在数据分析方法中利用不断增加的生物学途径知识。
rBiopaxParser 是一个软件包,它在 R 中提供了一组全面的函数,用于解析、查看和修改 BioPAX 途径数据。这些函数使用户能够访问和修改 BioPAX 模型的特定部分。此外,它还允许生成和布局控制相互作用的调控图,并可视化 BioPAX 途径。
rBiopaxParser 是一个开源的 R 包,并已提交给 Bioconductor。